Viewing profile — alankarmisra

They’d presumably do worse. LLMs have no intrinsic sense of programming logic. They are merely pattern matching against a large training set. If you invent a new language that does…

Same. I use Apple Notes. I have a few notes pinned (regular work, creative work, self-education, travel, chores). I write tasks. Break them up into small tasks with indents. Pick a…

Genuinely curious; while I understand why we would want a language to be open-source (there's plenty of good reasons), do you have anecdotes where the open-sourceness helped you so…

It's like the secret beaches in every south-east asian nook and crany. They're so secret there's signs pointing to them every where and they are overrun with tourists.

I see the value in showcasing that LLMs can run locally on laptops — it’s an important milestone, especially given how difficult that was before smaller models became viable. That …

My thinking is threaded. I maintain lists (in a simple txt file and more recently, in Notes on the Mac) and add the tasks to it. Subtasks go into an indent. I have different notes …

I would argue that framework isn't the winning component, the people are. A lot of people can say similar things for framework > and they'd be right given their own experience but …

I would guard against "arguing from the extremes". I would think "on average" compact is more helpful. There are definitely situations where compactness can lead to obfuscation but…

In your specific example, time of day, weather (foggy, sunny, over-cast) along with images of cars with different colors, models, makes, from different angles will all be training …

I'm wondering if this is a limitation though. If it can be learnt from training data, would it not be part of the neural network training data? I imagine we use Scallop to bridge t…

I read the paper on Lobster a little bit. Scallop does its reasoning on the CPU - whereas Lobster is an attempt to move that reasoning logic to the GPU. That way the entire neurosy…

It's a combination of neural networks and symbolic reasoning. You can use a neurosymbolic approach by combining deep learning and logical reasoning: A neural network (PyTorch) dete…

This. I'm trying to set up a personal developer blog and I have a very specific set of requirements. Tried several static blogging frameworks. Apart from the software bloat, I foun…

This paper suggests that LLMs can be trained to handle multi-stage questioning by automatically optimizing prompts using feedback-based methods, improving their ability to process …

Same. I was writing my own language compiler with MLIR/C++ and GPT was ok-ish to dive into the space initially but ran out of steam pretty quickly and the recommendations were so o…